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2023 IEEE/MTT-S International Microwave Symposium, IMS 2023

作者： Chen, I-Ting Lynch, Charles A. Eid, Aline Hester, Jimmy G.D. Tentzeris, Manos M Georgia Institute of Technology School of Electrical and Computer Engineering United States University of Michigan Department of Electrical Engineering and Computer Science United States Atheraxon Inc United States

ISBN: (纸本)9798350347647

This paper presents a low-power and potentially energy-autonomous Rotman Lens-based reconfigurable intelligence surface millimeter wave identification (mmID) that is able to harvest and communicate selectively with a power consumption of 159.6 µW at 28 GHz. The prototype is inkjet-printed on a thin Rogers substrate using a masking technique followed by etching. Its harvesting performance is evaluated by its rectifier efficiency and the system is able to turn on at 2.5 dBm input power. Its communication ability is evaluated indoors in both close range and medium range. The system displays a medium-range communication capability up to 10 m with 41 dBm effective isotropic radiated power (EIRP) and can harvest 28 GHz signals up to 11 m and communicate up to 125 m with 75 dBm EIRP. © 2023 IEEE.

关键词： Energy harvesting

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Advanced Malware Detection Methods for Polymorphic Virus Identification 5

Advanced Malware Detection Methods for Polymorphic Virus Ide...

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5th IEEE International Conference on Communication, Computing and Industry 6.0, C2I6 2024

作者： Anil, D. Shreeshayana, R. Kiran, B. Preethi Uvce Bangalore University Department of Computer Science and Engineering Bengaluru India Atme College of Engineering Department of Electrical and Electronics Engineering Mysuru India Pes University Department of Computer Science and Engineering Bengaluru India Reva University School of Computing and Information Technology Bengaluru India

ISBN: (数字)9798350379884

ISBN: (纸本)9798350379884

Polymorphic viruses pose a significant challenge to traditional malware detection methods due to their ability to modify their code structure with each infection, effectively evading signature-based detection. This paper explores advanced malware detection methods tailored for identifying polymorphic viruses, focusing on the integration of machine learning, deep learning and hybrid approaches. Through a comprehensive analysis of static and dynamic features extracted from executables and URLs, this study employs classifiers such as Random Forests and Support Vector Machines (SVMs) to enhance detection accuracy. The SVM classifier demonstrated superior performance, achieving a detection accuracy of 96.23% compared to the 93.67% accuracy of the Random Forest classifier. This research highlights the potential of combining static and dynamic analysis with machine learning techniques to address the limitations of traditional methods, offering a robust framework for detecting and mitigating polymorphic and zero-day threats. © 2024 IEEE.

关键词： Adversarial machine learning

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Wind turbine inspection with drone: Advantages and disadvantages

Journal of Energy Systems

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Journal of Energy Systems 2023年第1期7卷 57-66页

作者： Tanrıverdi, Harun Karakuş, Güzide Ulukan, Ahmet Abdullah Gul University Graduate School of Engineering and Science Electrical and Computer Engineering Kayseri Turkey Necmettin Erbakan University Faculty of Aeronautics and Astronautics Department of Aviation Management Konya Turkey

The facilities on wind energy generation are increasingly finding usage areas in line with the ecologically friendly energy generation approach. One of the important activities of wind power generation facilities, which have high investment cost, low operating cost and low environmental impact is the maintenance and repair of wind turbines. A preventive maintenance approach is dominant to reduce maintenance times and eliminate lost time in wind turbines. Damage inspection of turbines has been evolved from tower crane access, rope access, camera viewing, and other applications to image with manual drones over the years. However, when these methods are evaluated within the framework of criteria such as cost, performance, occupational safety and data reliability, they are still insufficient and the need for inspection with autonomous drones arises. The advantages and disadvantages of autonomous drones used in the determination of damage in wind turbines are analyzed and the results are considered to contribute to the practitioners operating in the sector and academicians working in the field. © 2023 Published by peer-reviewed open access scientific journal.

关键词： Wind power

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Wrapper-Based Feature Selection to Improve The Accuracy of Intrusion Detection System (IDS) 10

Wrapper-Based Feature Selection to Improve The Accuracy of I...

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10th International Conference on Wireless and Telematics, ICWT 2024

作者： Jupriyadi Budiman, Arief Hamidi, Eki Ahmad Zaki Ahdan, Syaiful Negara, Ridha Muldina Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia Universitas Gadjah Mada Department Computer Science and Electronics Yogyakarta Indonesia UIN Sunan Gunung Djati Bandung Electrical Engineering Department Bandung Indonesia Telkom University School of Electrical Engineering Bandung Indonesia

ISBN: (纸本)9798350377057

An Intrusion Detection System (IDS) is a system that can detect attacks on a network. IDS systems can be built using machine learning approaches. However, significant network traffic and many features cause machine learning algorithms to work slowly. Not all available features are essential for use as a reference in an intrusion detection system. Feature selection is important because it can reduce the dataset and speed up computing time in building models and detection systems. In this paper, feature selection using the wrapper method is proposed. Its performance is compared with filter-based feature selection, such as chi-square, information gain, gain ratio, and correlation-based feature selection (CFS). Based on the exploration, the results showed that the feature selection algorithm using the wrapper method was superior to other algorithms. The number of critical features discovered and the detection system's precision serve as proof of the wrapper approach. With only three features as a reference, the detection system produces an accuracy of 96.22%. It increases 5.84% from 90.38% to 96.22%. Computation time also increases because the number of features used is tiny compared to other algorithms and uses all features. © 2024 IEEE.

关键词： Network intrusion

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Study of Photonic Platforms for On-Chip Refractive Index Sensing

Study of Photonic Platforms for On-Chip Refractive Index Sen...

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2024 Photonics North, PN 2024

作者： El Shamy, Raghi Swillam, Mohamed A. Li, Xun Faculty of Engineering Department of Electrical and Computer Engineering McMaster University Hamilton Canada School of Science and Engineering Department of Physics The American University in Cairo New Cairo Egypt

ISBN: (纸本)9798350366365

Here we present a rigorous study for the different integrated photonic platforms that can be used for on-chip refractive index (RI) sensing. The study includes the widespread silicon photonics platform, the silicon nitride platform and the silica platform. We compare these three platforms according to five parameters that determine the performance and reliability of the RI sensor. Finally, we conclude with the optimum platform for on-chip RI sensing according to the available technology and the aimed application. © 2024 IEEE.

关键词： Silicon nitride

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A Wireless and Battery-Free Wearable Pressure Sensing System for Human-Machine Interaction and Health Monitoring

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2023年第6期2卷 439-447页

作者： Lee, Sang Won Pei, Xiaochang Rajendran, Jerome Esfandyarpour, Rahim University of California at Irvine Henry Samueli School of Engineering Department of Electrical Engineering and Computer Science Laboratory for Integrated Nano Bio Electronics Innovation IrvineCA92697 United States

Wearable devices have received tremendous interest in healthcare monitoring due to their significant advantages in terms of flexibility, noninvasiveness, wireless capability, and portability. However, they still face challenges, including the need for external power sources, bulky measuring instruments, and a lack of a wireless data transport system. Herein, we propose a PEDOT:PSS/MXene pressure sensing platform based on 2-D e-textile and screen-printed interdigitated electrodes (IDEs). Both materials improve the electrical conductivity, sensitivity, stability, flexibility, and mechanical durability of the pressure sensor. A near-field communication (NFC) readout system provides real-time wireless monitoring by transmitting signals from the sensor to a smartphone app, without external batteries. The pressure sensor has sensitivity, a wide detection range, excellent repeatability and stability, fast response/recovery time, and long-term durability. Long-term usability was verified through the bending test up to 21400 cycles. The flexible pressure sensor successfully monitored wrist pulse, physical movements, and various muscle movements in the body. Repeatable, stable, reliable, and regular signals were obtained wirelessly through the NFC readout system. Our sensing platform could be a promising solution for healthcare monitoring, rehabilitation therapy, and early medical diagnosis. In addition, it suggests a new platform for helping people with disabilities to communicate with others through human-machine interaction. © 2022 IEEE.

关键词： Pressure sensors

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Experimental Study of Open-Switch Faults for Interfacing Inverters in Microgrids Using OPAL-RT Real-time Simulator 60

Experimental Study of Open-Switch Faults for Interfacing Inv...

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60th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2024

作者： Talha, Muhammad Liang, Xiaodong Pannell, Jason Bowes, Austin Su, Hanguang University of Saskatchewan Department of Electrical and Computer Engineering SaskatoonSK Canada Northeastern University School of Information Science and Engineering Liaoning Shenyang China

ISBN: (纸本)9798350345308

With increasing penetration of renewable energy sources in power distribution systems, the microgrid becomes a fundamental building block for grid modernization. Within a microgrid, renewable energy-based distributed generation (DG) units are connected through interfacing inverters. These inverters play an essential role for the microgrid operation by employing advanced control schemes. However, interfacing inverters may fail due to various faults. In this paper, an experimental investigation of open-switch faults for the DG interfacing voltage source inverter (VSI) in microgrids is conducted using the Opal-RT real-time simulator test bench, where three grid-forming inverter control schemes for DGs (droop control, virtual synchronous generator (VSG) control, and VSG with Fuzzy secondary controller) are implemented under healthy and 21 single- and multi-open-switch fault combinations. In addition to three control schemes, five inverter loadings (30%, 45%, 60%, 75% and 90%) are also considered in the testing. Three phase voltage and current signals recorded at the inverter output/load terminal in these experiments provide unique and novel datasets for studying inverter open-switch fault diagnosis in microgrids. © 2024 IEEE.

关键词： Distributed power generation

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Static Eccentricity Fault Analysis in Three-Phase Induction Motors Using Current Signal 2

Static Eccentricity Fault Analysis in Three-Phase Induction ...

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2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2023

作者： Refaat, Shady S. Al-Shemmery, Ahmed Abdulmawjood, Kais Kameli, Sayed Mohammad Abuelrub, Abdelaziz Texas A&m University at Qatar Electrical and Computer Engineering Department Doha Qatar School of Physics Engineering and Computer Science University of Hertfordshire Hatfield United Kingdom Ontario Tech University Department of Electrical Computer and Software Engineering Canada

ISBN: (纸本)9798350300802

Preventing mechanical faults in motors is often impossible, early detection of air gap eccentricity faults in induction motors is critical in preventing damage to the machine. Therefore, designing a reliable, effective fault detection system can help to improve its operation. This paper presents an analysis of static eccentricity fault for induction motors. This paper proposes the use of the empirical mode decomposition (EMD) followed by the implementation of wavelet packet decomposition (WPD) on current signals to extract and identify static eccentricity fault frequency signatures. The accuracy in fault detection and diagnosis of the effects of static airgap eccentricity using stator current based monitoring with WPD based on EMD is experimentally verified. © 2023 IEEE.

关键词： Airgap eccentricity fault empirical mode decomposition induction machine wavelet packet decomposition

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Graph Complemented Latent Representation for Few-Shot Image Classification

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IEEE Transactions on Multimedia 2023年 25卷 1979-1990页

作者： Zhong, Xian Gu, Cheng Ye, Mang Huang, Wenxin Lin, Chia-Wen Wuhan University of Technology School of Computer Science and Artificial Intelligence Wuhan430070 China Peking University School of Electronic Engineering and Computer Science Beijing100091 China ZhongNeng Power-Tech Development Company Ltd Beijing100034 China Wuhan University School of Computer Science Wuhan430072 China Hubei University School of Computer Science and Information Engineering Wuhan430062 China National Tsing Hua University Department of Electrical Engineering Hsinchu30013 Taiwan National Tsing Hua University Institute of Communications Engineering Hsinchu30013 Taiwan

Few-shot learning is a tough topic to solve since obtaining a large number of training samples in real applications is challenging. It has attracted increasing attention recently. Meta-learning is a prominent way to address this issue, intending to adapt predictors as base-learners to new tasks swiftly. However, a key challenge of meta-learning is its lack of expressive capacity, which stems from the difficulty of extracting general information from a small number of training samples. As a result, the generalizability of meta-learners trained from high-dimensional parameter spaces is frequently limited. To learn a better representation, we propose a graph complemented latent representation (GCLR) network for few-shot image classification. In particular, we embed the representation into a latent space, in which the latent codes are reconstructed using variational information to enrich the representation. In this way, the latent representation can achieve better generalizability. Another benefit is that, because the latent space is formed using variational inference, it cooperates well with various base-learners, boosting robustness. To make full use of the relation between samples in each category, a graph neural network (GNN) is also incorporated to improve relation mining. Consequently, our end-to-end framework delivers competitive performance on three few-shot learning benchmarks for image classification. © 2021 IEEE.

关键词： Image reconstruction

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A Secure Framework for Blockchain Transactions Protection

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computer Systems science & engineering 2023年第5期45卷 1095-1111页

作者： Wafaa N.Al-Sharu Majdi K.Qabalin Muawya Naser Omar A.Saraerh Department of Electrical Engineering Faculty of EngineeringThe Hashemite UniversityZarqa13133Jordan Department of Computer Science King Hussein School of Computing SciencesPrincess Sumaya University for TechnologyAmman11941Jordan

One of the most extensively used technologies for improving the security of IoT devices is blockchain *** is a new technology that can be utilized to boost the *** is a decentralized peer-to-peer network with no central *** nodes on the network mine or verify the data recorded on the *** is a distributed ledger that may be used to keep track of transactions between several *** one can tamper with the data on the blockchain since it is *** the blocks are connected by hashes,the transaction data is *** is managed by a system that is based on the consensus of network users rather than a central *** immutability and tamper-proof nature of blockchain security is based on asymmetric cryptography and ***,Blockchain has an immutable and tamper-proof smart contract,which is a logic that enforces the Blockchain’s *** is a conflict between the privacy protection needs of cyber-security threat intelligent(CTI)sharing and the necessity to establish a comprehensive attack chain during blockchain *** paper presents a blockchain-based data sharing paradigm that protects the privacy of CTI sharing parties while also preventing unlawful sharing and ensuring the benefit of legitimate sharing *** builds a full attack chain using encrypted threat intelligence and exploits the blockchain’s backtracking capacity to finish the decryption of the threat source in the attack *** contracts are also used to send automatic early warning replies to possible attack *** tests are used to verify the feasibility and efficacy of the suggested model.

关键词： Manuscript preparation typeset format

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